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Spectral Properties from Quantum Monte Carlo Data: A Consistent Approach

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Maximum Entropy and Bayesian Methods

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 79))

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Abstract

Bayesian statistics in the frame of the maximum entropy concept has widely been used for inferential problems, particularly, to infer dynamic properties of strongly correlated fermion systems from Quantum-Monte-Carlo (QMC) imaginary time data. In current applications, however, a consistent treatment of the error-covariance of the QMC data is missing. Here we present a closed Bayesian approach to account consistently for the QMC-data.

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Author information

Authors and Affiliations

  1. Institut für Theoretische Physik, Universität Würzburg Am Hubland, D-97074, Würzburg, Germany

    R. Preuss

  2. Max-Planck-Institut für Plasmaphysik, EURATOM Association, D-85740, Garching b. München, Germany

    W. Von Der Linden & W. Hanke

Authors
  1. R. Preuss
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  2. W. Von Der Linden
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  3. W. Hanke
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Editor information

Editors and Affiliations

  1. Dynamic Experimentation Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Kenneth M. Hanson

  2. Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Richard N. Silver

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© 1996 Springer Science+Business Media Dordrecht

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Preuss, R., Von Der Linden, W., Hanke, W. (1996). Spectral Properties from Quantum Monte Carlo Data: A Consistent Approach. In: Hanson, K.M., Silver, R.N. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5430-7_20

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  • DOI: https://doi.org/10.1007/978-94-011-5430-7_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6284-8

  • Online ISBN: 978-94-011-5430-7

  • eBook Packages: Springer Book Archive

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